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The Master of Engineering: Computer Science is a deepening, research-oriented master. The program provides next to a common part with deepening courses in core disciplines of computer science also specialized courses which are classified into four specializations that directly connect to the existing research potential in Artificial Intelligence, Web and information systems, Software & Programming Language Engineering, and Telecommunications & Multimedia Processing. An original contribution to the state-of-the-art of one of these specializations is expected in the extended master thesis. This program is an ideal preparation for an IT-job in the innovative software industry, but also for research in an academic or industrial context.
The general objectives of the curriculum are:
- The acquisition of factual knowledge and understanding including stimulating abstract and conceptual thinking, and the acquisition of an overall picture and an understanding of the connections, i.e. basic scientific knowledge of the discipline.
- Learning to expand and apply knowledge in (research) projects including the development of research skills, an independent attitude, and a methodical way to develop new insights and knowledge, i.e. general scientific competences.
- The acquisition of intellectual skills; learning to work individually and in team; the acquisition of a lifelong learning attitude; learning to communicate information, ideas, problems, and solutions to specialists and non-specialists, i.e. general competencies.
After finishing this curriculum, the student has acquired the following competences:
Basic scientific knowledge of the discipline
- Thorough and active and up to date knowledge of the theory as well as the practice of the core disciplines of the computer sciences: programming and programming languages, algorithms and data structures, databases and information systems, interpretation and compilation of computer programs, logic, automata and computability, software engineering, distributed and networked systems, artificial intelligence; all this at the level of the standard textbooks of the discipline, and at the level of scientific literature.
- Active, applicable, and up to date knowledge of subjects of supporting disciplines (mathematics, statistics) and of context disciplines (economy, entrepreneurship, management).
- Active, applicable, and up to date knowledge of the theory as well as the practice of designing, developing, deploying and maintaining complex software systems.
- Thorough and active knowledge of subjects of the chosen specialization, at the level of the specialized scientific literature.
- Knowledge of the state of the art of the chosen specialization.
General scientific competences
- To be able to design and implement a solution for a complex, not necessarily clearly delineated assignment or problem statement with a large, open solution space, individually or in group, by applying the state of the art of different disciplines of the computer sciences, if necessary supplemented by recent research results.
- To be able to tackle an open research problem within the chosen specialization, by consulting and processing the right scientific literature and choosing the applicable research methodology; to plan, execute and report about scientific research.
- Sense of responsibility, handling pressure, functioning on an individual basis as well as in team.
- Intellectual mobility and curiosity, following up on the evolutions of the discipline and familiarizing oneself with them, an attitude of lifelong learning.
- Being able to look up and consult the literature in English, to evaluate new techniques and technologies qualitatively, and apply them in a flexible manner.
- Being able to look up, evaluate and select scientific literature, and apply it in a flexible manner.
- Communicating information, ideas, problems and solutions to an audience of peers as well as to professionals from other disciplines.
- Reporting in Dutch and in English, and presenting using modern media.
- Being able to contribute in a team in setting up research projects and writing proposals for projects.
- Writing scientific publications, i.e. being able to communicate ideas, problems and solutions to an audience of specialists.
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In the context of this programme, the following academic plans are offered:
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